Adaptive kernel scaling support vector machine with application to a prostate cancer image study [0.03%]
一种自适应核函数尺度调整的支持向量机及其在前列腺癌影像分析中的应用研究
Xin Liu,Wenqing He
Xin Liu
The support vector machine (SVM) is a popularly used classifier in applications such as pattern recognition, texture mining and image retrieval owing to its flexibility and interpretability. However, its performance deteriorates when the re...
Zainab Al-Kaabawi,Yinghui Wei,Rana Moyeed
Zainab Al-Kaabawi
The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents and study its pattern across the UK motorway network. Two methods have been developed to achieve this aim. First, the motorway-specific ...
Analyzing partially paired data: when can the unpaired portion(s) be safely ignored? [0.03%]
如何分析部分配对的数据：何时可以忽略未配对的部分？
Qianya Qi,Li Yan,Lili Tian
Qianya Qi
Partially paired data, either with incompleteness in one or both arms, are common in practice. For testing equality of means of two arms, practitioners often use only the portion of data with complete pairs and perform paired tests. Althoug...
Penalized likelihood approach for the four-parameter kappa distribution [0.03%]
带有惩罚函数的四参数Kappa分布似然估计方法研究
Nipada Papukdee,Jeong-Soo Park,Piyapatr Busababodhin
Nipada Papukdee
The four-parameter kappa distribution (K4D) is a generalized form of some commonly used distributions such as generalized logistic, generalized Pareto, generalized Gumbel, and generalized extreme value (GEV) distributions. Owing to its flex...
Streaming constrained binary logistic regression with online standardized data [0.03%]
基于在线标准化数据的流式约束二元逻辑回归
Benoît Lalloué,Jean-Marie Monnez,Eliane Albuisson
Benoît Lalloué
Online learning is a method for analyzing very large datasets ('big data') as well as data streams. In this article, we consider the case of constrained binary logistic regression and show the interest of using processes with an online stan...
A nonlinear measurement error model and its application to describing the dependency of health outcomes on dietary intake [0.03%]
一种非线性测量误差模型及其在描述健康结果与膳食摄入量之间关系中的应用
B Curley
B Curley
Many nutritional studies focus on the relationship between individuals' diets and resulting health outcomes. When examining these relationships, researchers are generally interested in individuals' long-term, average intake of nutrients; ho...
Hongying Jing,Jian Li,Kaizong Bai
Hongying Jing
Statistical surveillance for covariance matrices has attracted increasing attention recently. Many approaches have been developed for monitoring general shifts that are arbitrary deviations, as well as sparse shifts occurring in only a few ...
A novel perspective for parameter estimation of seemingly unrelated nonlinear regression [0.03%]
一个似乎不相关的非线性回归参数估计的新视角
Özlem Türkşen
Özlem Türkşen
Nonlinear regression is commonly used as a modeling tool to get a functional form between inputs and response variables when the inputs and the responses have a nonlinear relationship. It should be better to compose the predicted nonlinear ...
Meral Ebegil,Yaprak Arzu Özdemir,Fikri Gökpinar
Meral Ebegil
In this study, some shrinkage estimators using a median ranked set sample in the presence of multicollinearity were studied. Initially, we constructed the multiple regression model using median ranked set sampling. We also adapted the Ridge...
The role of social capital in environmental protection efforts: evidence from Turkey [0.03%]
社会资本在环境保护中的作用——来自土耳其的证据
Julide Yildirim,Barış Alpaslan,Erdener Emin Eker
Julide Yildirim
The existing literature has recognized the role and importance of social capital in natural resource management. Several studies provide empirical evidence that higher levels of social capital may positively affect individuals' behavior tow...